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Vacancies PhD Position: Improved Temper Roll-Force Prediction Through Microstructural Modelling Key takeaways Steel is extensively used in sheet form across a wide range of applications. Two
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will develop numerical models to simulate fluid injection-induced fracture and flow behaviour, as well as permeability evolution in fracture systems, utilising fracture networks mapped from geothermal
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), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
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of theory and experiment to test competing models of predictive coding in the auditory cortex—shaping our understanding of brain function from the ground up. Predictive coding and predictive processing
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understand their surroundings even in harsh weather conditions. However, current radar systems face limitations in resolution due to cost and power constraints. This PhD project explores generative models as a
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Vacancies PhD Candidate Geospatial Risk Modelling for Climate Finance Key takeaways Effectively understanding and mitigating financial risks associated with climate change is important for
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PhD in Data-Driven Modeling of Homogeneous Catalysts (1.0 FTE) (V25.0035) « Back to the overview Job description Among the most challenging to develop catalytic reactions are stereoselective
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properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and used to establish such a
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Vacancies PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery in SMARTTEST Key takeaways A hip fracture in elderly
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the supervision of dr. Aurélie Carlier. This 5-year interdisciplinary project aims to perform cutting-edge research in developing new methodologies for the automated modeling of the dynamic behavior of large